138 citations · 289 across the 20 of their papers we have counts for
26 papers
Multi-Objective Decision Transformers for Offline Reinforcement Learning
Abdelghani Ghanem, Philippe Ciblat, Mounir Ghogho
Offline Reinforcement Learning (RL) is structured to derive policies from static trajectory data without requiring real-time environment interactions. Recent studies have shown the…
A New Interference-Alignment Scheme for Wireless MapReduce
Yue Bi, Michèle Wigger, Yue Wu
We consider a full-duplex wireless Distributed Computing (DC) system under the MapReduce framework. New upper and lower bounds on the optimal tradeoff between Normalized Delivery T…
DoF of a Cooperative X-Channel with an Application to Distributed Computing
Yue Bi, Michèle Wigger, Philippe Ciblat +1
We consider a cooperative X-channel with transmitters (TXs) and receivers (Rxs) where Txs and Rxs are gathered into groups of size respectively. Txs belongi…
Neural network approaches to point lattice decoding
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We characterize the complexity of the lattice decoding problem from a neural network perspective. The notion of Voronoi-reduced basis is introduced to restrict the space of solutio…
On the decoding of lattices constructed via a single parity check
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
This paper investigates the decoding of a remarkable set of lattices: We treat in a unified framework the Leech lattice in dimension 24, the Nebe lattice in dimension 72, and the B…
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
The problem of resource constrained scheduling in a dynamic and heterogeneous wireless setting is considered here. In our setup, the available limited bandwidth resources are alloc…
Cache Updating Strategy Minimizing the Age of Information with Time-Varying Files' Popularities
Haoyue Tang, Philippe Ciblat, Jintao Wang +2
We consider updating strategies for a local cache which downloads time-sensitive files from a remote server through a bandwidth-constrained link. The files are requested randomly f…
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
Hakim Hafidi, Mounir Ghogho, Philippe Ciblat +1
We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner. GraphCL learns node embeddings by maximizing the…
Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems
Ehsan Tohidi, David Gesbert, Philippe Ciblat
We address the problem of resource allocation (RA) in a cognitive radio (CR) communication system with multiple secondary operators sharing spectrum with an incumbent primary opera…
Analysis of Multi-Messages Retransmission Schemes
Alla Khreis, Francesca Bassi, Philippe Ciblat +1
Hybrid Automatic ReQuest (HARQ) protocol enables reliable communications in wireless systems. Usually, several parallel streams are sent in successive timeslots following a time-sh…
On the decoding of Barnes-Wall lattices
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new efficient recursive decoders for the Barnes-Wall lattices based on their squaring construction. The analysis of the new decoders reveals a quasi-quadratic complexity…
Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State
Haoyue Tang, Jintao Wang, Philippe Ciblat +1
We consider a scenario where a base station (BS) attempts to collect fresh information from power constrained sensors over time-varying band-limited wireless channels. We character…
Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations
Haoyue Tang, Philippe Ciblat, Jintao Wang +2
We consider a system consisting of a library of time-varying files, a server that at all times observes the current version of all files, and a cache that at the beginning stores t…
On the CVP for the root lattices via folding with deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Point lattices and their decoding via neural networks are considered in this paper. Lattice decoding in Rn, known as the closest vector problem (CVP), becomes a classification prob…
A lattice-based approach to the expressivity of deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new families of continuous piecewise linear (CPWL) functions in Rn having a number of affine pieces growing exponentially in . We show that these functions can be see…
Multilevel MIMO Detection with Deep Learning
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
A quasi-static flat multiple-antenna channel is considered. We show how real multilevel modulation symbols can be detected via deep neural networks. A multi-plateau sigmoid functio…
Neural Lattice Decoders
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Lattice decoders constructed with neural networks are presented. Firstly, we show how the fundamental parallelotope is used as a compact set for the approximation by a neural latti…
Energy-Latency Tradeoff in Ultra-Reliable Low-Latency Communication with Retransmissions
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
High-fidelity, real-time interactive applications are envisioned with the emergence of the Internet of Things (IoT) and tactile Internet by means of ultra-reliable low-latency comm…
A survey on fiber nonlinearity compensation for 400 Gbps and beyond optical communication systems
Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan +3
Optical communication systems represent the backbone of modern communication networks. Since their deployment, different fiber technologies have been used to deal with optical fibe…
Mitigating selfish primary user emulation attacks in multi-channel cognitive radio networks: A surveillance game
Duc-Tuyen Ta, Nhan Nguyen-Thanh, Patrick Maille +2
Primary User Emulation Attack (PUEA), in which attackers emulate primary user signals causing restriction of secondary access on the attacked channels, is a serious security proble…
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat +1
Consider a set of N agents seeking to solve distributively the minimization problem where the convex functions are local to the agents. The p…
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat +1
Consider a set of networked agents endowed with private cost functions and seeking to find a consensus on the minimizer of the aggregate cost. A new class of random asynchronous di…
Analysis of Sum-Weight-like algorithms for averaging in Wireless Sensor Networks
Franck Iutzeler, Philippe Ciblat, Walid Hachem
Distributed estimation of the average value over a Wireless Sensor Network has recently received a lot of attention. Most papers consider single variable sensors and communications…
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks
Nassar Ksairi, Pascal Bianchi, Philippe Ciblat
In this paper, we propose a resource allocation algorithm for the downlink of sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical Channel State Informatio…